#facedetection
Live, measured metrics for the hashtag #facedetection from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #facedetection
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 12:12 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:12 UTCEverything below is measured over the latest 17 public posts (spanning ~56150 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (15) · German (2)
Avg boosts / post: 0.5
Top of the latest posts
🎞️ ArnaudCrl/immich-automated-selfie-timelapse Automated face extraction, resizing and alignment suitable to make a selfie timelapse video. Creates timelapse videos from Immich photos using face detection, alignment, and quality filters vi
Google Photos face detection is really good... at getting it wrong (!) Like, really. When I used an iPhone, it was super good at detecting who was who. Now I'm on Android... well, let me tell you, its a nightmare to filter my photos by pers
Testing *deface* (https://github.com/ORB-HD/deface), a command line application to detect and anonymize peoples faces in video and images. I tested earlier an image (https://todon.nl/@joenepraat/111703627023452784). This is a video I made a
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/facedetection